Tool overview
Confident AI is listed under AI Governance Safety & Evaluation AI tools.
What is Confident AI?
Confident AI is a commercial AI quality platform from the creators of DeepEval. It supports unit and regression testing, tracing, prompt versioning, online evaluations, datasets, annotation, red teaming, governance, APIs, alerts, and enterprise deployment.
Best for
Teams operating LLM applications that need measurable quality controls
Who is it for?
Decision note
Rebuilt from the original export under the complete V412/V411 factual-source-verification workflow. Preview only. Apply remains blocked until Failures = 0, Warnings = 0, Unmapped = 0, Missing = 0; explicit clears are reviewed; image import is disabled or V380 accepts the asset; a representative WordPress edit screen is compared with the export and proposed row; and a post-Apply zero-change Preview succeeds.
Key features
LLM unit and regression testing
Tracing and online evaluations
Prompt, dataset, and metric versioning
Red teaming, governance, alerts, and API
Use cases
Evaluate agents and RAG systems
Monitor production quality regressions
Compare prompts and models
Create annotation and review workflows
Pros
- Free cloud tier is available
- DeepEval is Apache-2.0 open source
- Enterprise on-prem deployment is documented
Limitations
Automated evaluators can be biased or inconsistent.
Teams should calibrate metrics with human review and representative datasets.
Pricing details
Billing options
Pricing note
Free supports two seats, one project, five test runs weekly, and 1 GB-month of traces. Starter is $200/month, Team is $2,000/month, and Enterprise is custom with on-prem and data-residency options.
Supported languages
- English
Integrations
DeepEval
OpenAI
LangChain
GitHub Actions
Slack
PagerDuty
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